This article was written by Radhouane Aniba. How to pick a Data Science book : Choosing a data science book is one of the important steps to properly learn from the exp...
So here are my three principle experiences you won’t effectively discover in books. 1. Evaluation Is Key The main goal in data analysis/machine learning/data scienc...
The following problems appeared in the exercises in the Coursera course Image Processing (by Northwestern University). The following descriptions of the problems are ta...
This problem appeared as an assignment in the coursera course Natural Language Processing (by Stanford) in 2012. The following description of the problem is taken direct...
Does it sound familiar to you? In order to get an idea of how to choose a parameter for a given classifier, you have to cross reference to a number of papers or books, wh...
This article was written by Thomas Legoff. Artificial intelligence – or AI – is a true part of our world, as well as a substantial hub of interest for science and b...
This article was written by Koustuch on CV-Tricks. In this series of post, we shall learn the algorithm for image segmentation and implementation of the same using Ten...
Anybody who has been following my social media account would know that I am a big supporter of incorporating data analytic techniques in everyday business processes. I am...
Once dubbed as the sexiest job of the 21st century by The Harvard Business Review, data scientists take pride in having adept technical skills in providing solutions to p...
Do you often go with gut feeling rather than data and insights? Is your data stored in separate databases, in different formats with different values? We all have bad ha...
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